Abstract
Objectives
Prognosis for locally advanced esophagogastric adenocarcinoma (EAC) is poor with surgery alone and adjuvant therapy after open esophagectomy is frequently not tolerated. After minimally invasive esophagectomy (MIE), however, earlier return to normal function may render patients better able to receive adjuvant therapy. This study examined whether primary MIE followed by adjuvant chemotherapy impacted survival compared to propensity-matched patients treated with neoadjuvant therapy.
Methods
Patients with stage II or higher EAC treated with MIE (n=375) were identified. Using 30 pretreatment covariates, propensity for assignment to either neoadjuvant followed by MIE (n=183; 54%) or MIE as primary therapy (n=156; 46%) was calculated, generating 97 closely-matched pairs. Hazard ratios were adjusted for age, sex, BMI, smoking, comorbidity and final pathologic stage.
Results
In propensity-matched pairs, adjusted hazard ratio for death did not differ significantly for primary MIE compared to neoadjuvant (HR 0.83; 95% CI 0.60–1.16). Recurrence patterns were similar between groups and 65% of patients with IIb or greater pathologic stage received adjuvant therapy. Clinical staging was inaccurate in 37/105 (35%) patients who underwent primary MIE (n=18 upstaged and n=19 downstaged).
Conclusions
Primary MIE followed by adjuvant chemotherapy guided by pathologic findings did not negatively impact survival and allowed for accurate staging of the patient compared to clinical staging. Our data suggest that primary MIE in patients with resectable EAC may be a reasonable approach, improving stage-based prognostication and potentially minimizing overtreatment in patients with early-stage disease through accurate stage assignments. A randomized controlled trial testing this hypothesis is needed.
Keywords: Neoadjuvant Therapy, Esophagectomy, Propensity Score, Surgical Procedures, Minimally Invasive, Mortality
Introduction
The rationale for trimodality therapy in the management of esophagogastric adenocarcinoma is treatment of systemic micrometastasis and tumor downstaging, thus increasing the likelihood of complete resection, local control and overall survival. (1–4) Patients who maintain a reasonable performance status after neoadjuvant chemo(radio)therapy undergo esophagectomy with regional lymphadenectomy. In theory, this rationale is sound. In practice, however, great variability in neoadjuvant regimens exists between centers,(5) and, when studied in randomized controlled trials, comparisons between multimodal therapy and surgery alone yield conflicting results.(6–11) Lack of consistent neoadjuvant regimens is compounded by the limitations of clinical staging,(12–17) and differences in approach to esophagectomy, extent of lymphadenectomy and perioperative outcomes between centers.(18, 19) Finally, lack of proven adjuvant therapies and difficulties administering chemotherapy after open esophagectomy have led some investigators to conclude that neoadjuvant therapy is the only option.(20, 21)
In our center, we perform minimally invasive esophagectomy, regardless of tumor stage or the use of neoadjuvant therapy. We hypothesized that patients treated with primary MIE followed by adjuvant therapy would have comparable oncologic outcomes compared to patients treated with neoadjuvant therapy followed by MIE. Because treatment assignment was not random, we adjusted for large differences in observed covariates between groups using a propensity score and examined whether primary MIE followed by adjuvant chemotherapy impacted survival compared to propensity-matched patients treated with neoadjuvant therapy.
Patients and methods
We reviewed all patients with clinical stage II or higher esophagogastric adenocarcinoma treated with MIE (Jan 1, 1997 – July 31, 2009; n=375). Our approach to MIE has been previously described.(22–25) Eight stage IVb patients underwent MIE for bleeding and/or perforation and were excluded. Pretreatment nodal and distant metastases were evaluated with computed tomography (CT) scan (n=339), positron-emission testing (PET) scan (n=110), endoscopic ultrasound (EUS; n=244) and/or laparoscopic staging (n=150). Because the number of clinically positive nodes were not routinely reported, clinical stage was assigned using AJCC 6th edition. Definitive pretreatment clinical stage was assigned only if tumor depth was assessed by EUS; when EUS was not performed or available for review, overall pretreatment clinical stage was considered undocumented unless CT or PET revealed celiac node involvement, which is Stage IVa disease in AJCC 6th edition.
Propensity matching
We generated propensity scores to determine the probability of treatment assignment to either group. The dependent variable in the logistic regression model was treatment assignment (neoadjuvant [E−] or primary MIE [E+]); the independent variables were clinically relevant pretreatment covariates. (Table 1) Patients were then matched without replacement and without ties. Due to perfect separation between neoadjuvant and primary MIE, patients with non-elective surgery (n=11), other metastatic tumor (n=2), cervical mass location (n=1), or clinical tumor-stage T1 (n=8) were excluded from propensity scoring. Six patients were excluded because of missing data in one or more propensity scoring variables. Propensity scores were generated for 339 patients representing the final unmatched cohort. (Table 2)
Table 1.
Variables used for propensity scoring
| Age | Final pretreatment clinical stage | Surgeon (JDL) | Any neurological disorder |
| Sex | Final pretreatment T-stage | Urgency of operation | History of cerebrovascular accident |
| Smoking history | Final pretreatment N-stage | Reoperation | History of transient ischemic attack |
| BMI | Final pretreatment M-stage | History of MI | Malignancy other than current |
| Daily alcohol use | History of Barrett’s | CABG | Metastatic cancer |
| GERD | Location of Mass in esophagus | History of CHF | Liver disease |
| Dysphagia | Pretreatment tumor grade | Renal Insufficiency or failure Diabetes Mellitus |
Vascular disease Pulmonary disease |
Table 2.
Pretreatment patient demographics and characteristics for the entire cohort comparing patients assigned to neoadjuvant therapy with those assigned to MIE as primary therapy
| Pretreatment Clinical Characteristics | Prior to matching in propensity scored patients | |||
|---|---|---|---|---|
| Primary MIE n=156 | Neoadjuvant Therapy n=183 | All Patients N=339 | p-value | |
| Age (median, IQR) | 67 (59–75) | 63 (54–70) | 64 (56–72) | <0.001 |
| Body-mass index (median, IQR; kg/m2) | 27.4 (24.8–30.9) | 27.2 (23.6–31.1) | 27.3 (24.4–31) | 0.472 |
| Male sex | 131 | 157 | 288 | 0.651 |
| Surgeon (JDL) | 99 | 138 | 237 | 0.018 |
| History of smoking (>100 cigarettes in lifetime) | 111 | 144 | 255 | 0.130 |
| Daily alcohol use | 17 | 36 | 53 | 0.035 |
| Pretreatment dysphagia | 115 | 159 | 274 | 0.002 |
| Documented history of GERD | 107 | 115 | 222 | 0.303 |
| Histologically confirmed Barrett’s esophagus | 92 | 96 | 188 | 0.273 |
| Prior esophageal operation | 12 | 8 | 20 | 0.249 |
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Comorbid Illnesses
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| Overall Age-adjusted Charlson Comorbidity Index Score (median, IQR) | 3 (0–4) | 1 (0–4) | 2 (0–4) | 0.025 |
| Myocardial infarction or revascularization | 37 | 35 | 72 | 0.351 |
| Coronary bypass graft or stent | 27 | 22 | 49 | 0.215 |
| Congestive heart failure | 5 | 4 | 9 | 0.738 |
| Peripheral vascular disease | 9 | 12 | 21 | 0.824 |
| Creatinine ≥ 2.0 or need for hemodialysis | 1 | 2 | 3 | 1.000 |
| Diabetes requiring medical therapy | 29 | 23 | 52 | 0.133 |
| Pulmonary disease | 30 | 38 | 68 | 0.786 |
| Neurological disorder | 13 | 8 | 21 | 0.175 |
| Transient ischemic attack | 10 | 5 | 15 | 0.117 |
| Cerebrovascular accident | 5 | 4 | 9 | 0.738 |
| Malignancy other than esophageal cancer | 10 | 13 | 23 | 0.832 |
| Liver dysfunction (Child’s class A, B or C) | 2 | 3 | 5 | 1.000 |
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Pretreatment Tumor Specific Variables
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| Pretreatment location of mass by endoscopy | 1.000 | |||
| Middle esophagus | 1 | 1 | 2 | |
| Lower esophagus | 48 | 56 | 104 | |
| GEJ/cardia | 107 | 126 | 233 | |
| Pretreatment Tumor Grade | 0.113 | |||
| Well-differentiated | 15 | 6 | 21 | |
| Moderately-differentiated | 43 | 58 | 101 | |
| Poorly-differentiated | 75 | 91 | 166 | |
| Not reported | 23 | 28 | 51 | |
| Final pretreatment tumor depth1 | 0.002 | |||
| T2 (into muscularis propria) | 29 | 19 | 48 | |
| T3 (into adventitia) | 74 | 119 | 193 | |
| T4a (into adjacent, resectable structures) | 2 | 6 | 8 | |
| Pretreatment T-stage unknown | 51 | 39 | 90 | |
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| Final pretreatment nodal status2 | 0.919 | |||
| N0 (no clinically positive nodes) | 36 | 43 | 79 | |
| N1 (clinically positive nodes) | 117 | 135 | 252 | |
| N-stage unknown | 3 | 5 | 8 | |
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| Final pretreatment clinical stage | <0.001 | |||
| Stage IIa | 3 | 19 | 22 | |
| Stage IIb | 27 | 14 | 41 | |
| Stage III | 69 | 91 | 160 | |
| Stage IVa (celiac node involvement) | 6 | 26 | 32 | |
| Pretreatment Stage Undocumented | 51 | 33 | 84 | |
Pretreatment tumor depth assigned only for those patients with a pretreatment endoscopic ultrasound documenting depth of invasion into the esophageal wall. Pretreatment T-stage was not assigned based on computed tomography signs or symptoms
Pretreatment nodal status assigned based on computed tomography scan, positron emission tomography scan, endoscopic ultrasound, and/or laparoscopic staging
We took each exposure patient ([E+] primary MIE), one at a time, and found all control patients ([E−] neoadjuvant therapy followed by MIE) still in the matching pool whose propensity scores were within 0.05 of the exposure patient’s score. If a suitable match was not available, the patient was not included in the matched dataset. Matching was repeated several times with different random number generator seeds to ensure that matching balance and final outcome analysis produced similar, stable results each time, regardless of random seed. (Data not shown)
Prior to propensity matching, neoadjuvant patients were significantly younger, and more likely to have daily alcohol use and pretreatment complaints of dysphagia while primary MIE patients had higher age-adjusted Charlson Comorbidity Index (CCI; p=0.025) scores.(26) At least one comorbid condition was present in 56% of patients (range 1–6; n=190/339) and 2 or more in 22% (n=74/339). EUS showing pretreatment invasion into the muscularis propria (T2) was more common in the primary MIE patients; they were also less likely to have adventitial (T3) invasion. Pretreatment clinical stage III/Iva was more common in the neoadjuvant cohort, but there were no differences in pretreatment nodal metastasis rates, tumor location or grade. (Table 2)
Ninety-seven closely matched pairs (n=194) were generated using Stata.(27) Prior to matching, overall mean % bias was 15.2% (p-value<0.001 for differences between the cohorts). After matching, overall mean % bias was 6% (p-value=0.973), with less than 10% bias for most variables and less than 20% in all variables except history of smoking. (Table 3) Age (median 64 years for both; p=0.895) and age-adjusted CCI score (2 versus 1.5; p=0.2757) were similar between matched and unmatched patients; median survival was 20.3 versus 23.65 months (p=0.1094) and recurrence rates were 58% versus 53% (p=0.377), respectively. The c-index for the propensity matching was 0.778, indicating very good discrimination.
Table 3.
Comparison of clinical variables between groups after propensity score assignment and after propensity-matching
| Pretreatment Clinical Characteristics | Prior to matching in propensity scored patients | Matched Cohort | |||||
|---|---|---|---|---|---|---|---|
| Primary MIE n=156 | Neoadjuvant Therapy n=183 | % Bias | Primary MIE n=97 | Neoadjuvant Therapy n=97 | % Bias | % Bias Reduction | |
| Age (mean) | 66.4 | 61.7 | 44% | 64.1 | 63.5 | 5.8% | 86.9% |
| Body-mass index (mean; kg/m2) | 28.6 | 28.1 | 7.8% | 29.4 | 29.3 | 1.9% | 75.6% |
| Male sex | 84% | 86% | −5.1% | 82.5% | 82.5% | 0% | 100% |
| Surgeon (JDL) | 63.5% | 75.4% | −26.2% | 74.2% | 66% | 18% | 31% |
| History of smoking (>100 cigarettes in lifetime) | 71.2% | 78.7% | −17.4% | 81.4% | 71.1% | 23.8% | −36.8 |
| Daily alcohol use | 10.9% | 19.7% | −24.5% | 13.4% | 9.3% | 11.5% | 53% |
| Pretreatment dysphagia | 73.7% | 86.9% | −33.5% | 85.6% | 84.5% | 2.6% | 92.2% |
| Documented history of GERD | 68.6% | 62.8% | 12.1% | 65% | 68% | −6.5 | 46.2% |
| Histologically confirmed Barrett’s esophagus | 59% | 52.5% | 13.1% | 55.7% | 60.8% | −10.4% | 20.9% |
| Prior esophageal operation | 7.7% | 4.4% | 13.9% | 4.1% | 4.1% | 0% | 100% |
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Charlson-defined Comorbid Illness
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| History of myocardial infarction or revascularization | 23.7% | 19.1% | 11.2% | 19.6% | 20.6% | −2.5% | 77.6% |
| History of coronary bypass graft or stent | 17.3% | 12% | 14.9% | 14.4% | 14.4% | 0% | 100% |
| History of congestive heart failure | 3.2% | 2.2% | 6.3% | 4.1% | 3.1% | 6.3% | −1.1% |
| History of peripheral vascular disease | 5.8% | 6.6% | −3.3% | 5.2% | 5.2% | 0% | 100% |
| Creatinine ≥ 2.0 or need for hemodialysis | 0.6% | 1.1% | −4.9% | 1% | 1% | 0% | 100% |
| Diabetes requiring medical therapy | 18.6% | 12.6% | 16.6% | 16.5% | 17.5% | −2.8% | 82.9% |
| History of pulmonary disease | 19.2% | 20.8% | −3.8% | 20.6% | 19.6% | 2.6% | 32.8% |
| History of neurological disorder | 8.3% | 4.4% | 16.2% | 6.2% | 7.2% | −4.2% | 74% |
| History of transient ischemic attack | 6.4% | 2.7% | 17.6% | 4.1% | 4.1% | 0% | 100% |
| History of cerebrovascular accident | 3.2% | 2.2% | 6.3% | 1% | 3.1% | −12.7 | −102.3 |
| History of malignancy other than esophageal cancer | 6.4% | 7.1% | −2.8% | 7.2% | 5.2% | 8.2% | −197.3% |
| History of liver dysfunction (Child’s class A, B or C) | 1.3% | 1.6% | −3% | 2.1% | 1% | 8.6% | −188.5% |
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Pretreatment Tumor Specific Variables
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| Pretreatment location of mass by endoscopy | |||||||
| Middle esophagus | 0.64% | 0.55% | 1.2% | 1% | 1% | 0% | 100% |
| Lower esophagus | 30.8% | 30.6% | 0.4% | 29.9% | 30.9% | −2.2% | −513.1 |
| GEJ/cardia | 68.6% | 68.9% | −0.6% | 69.1% | 68% | 2.2% | −292.4% |
| Pretreatment Tumor Grade | |||||||
| Well-differentiated | 9.6% | 3.3% | 25.9% | 7.2% | 5.2% | 8.4% | 67.5% |
| Moderately-differentiated | 27.6% | 31.7% | −9% | 28.9% | 33% | −9% | 0.1% |
| Poorly-differentiated | 48.1% | 49.7% | −3.3% | 50.5% | 52.6% | −4.1% | −25% |
| Not reported | 14.7% | 15.3% | −1.6% | 13.4% | 9.3% | 11.5% | −640.4% |
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Individual and Overall Pretreatment Clinical Stage Variables
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| Final pretreatment tumor depth1 | |||||||
| T2 (into muscularis propria) | 18.6% | 10.4% | 23.4% | 12.4% | 15.5% | −8.8% | 62.3% |
| T3 (into adventitia) | 47.4% | 65% | −35.9% | 55.7% | 55.7% | 0% | 100% |
| T4a (into adjacent, resectable structures) | 1.3% | 3.3% | −13.4% | 2.1% | 2.1% | 0 | 100% |
| Pretreatment T-stage unknown | 32.7% | 21.3% | 25.8% | 29.9% | 26.8% | 7% | 72.8% |
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| Final pretreatment nodal status2 | |||||||
| N0 (no clinically positive nodes) | 23.1% | 23.5% | −1% | 21.7% | 15.5% | 14.6% | −1371.5% |
| N1 (clinically positive nodes) | 75% | 73.8% | 2.8% | 76.3% | 81.4% | −11.8% | −319.2% |
| N-stage unknown | 1.9% | 2.7% | −5.4% | 2.1% | 3.1% | −6.8% | −27.4% |
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| Final pretreatment clinical stage | |||||||
| Stage IIa | 1.9% | 10.4% | −35.7% | 3.1% | 1% | −9.4% | 75.6% |
| Stage IIb | 17.3% | 7.7% | 29.4% | 10.3% | 13.4% | −9.4% | 68% |
| Stage III | 44.2% | 49.7% | −11% | 50.5% | 53.6% | −6.2% | 43.7% |
| Stage IVa (celiac node involvement) | 3.9% | 14.2% | −36.7% | 6.2% | 5.2% | 3.6% | 90.1% |
| Pretreatment Stage Undocumented | 32.7% | 18% | 34.1% | 29.9% | 26.8% | 7.2% | 78.9% |
Pretreatment tumor depth assigned only for those patients with a pretreatment endoscopic ultrasound documenting depth of invasion into the esophageal wall. Pretreatment T-stage was not assigned based on computed tomography signs or symptoms.
Pretreatment nodal status assigned based on computed tomography scan, positron emission tomography scan, endoscopic ultrasound, and/or laparoscopic staging
Statistical analysis
Statistical analysis was performed using STATA 13,(27) summarizing descriptive statistics with frequencies and percentages for categorical variables and median with interquartile range (IQR) for continuous variables. Variables associated with adjuvant therapy were assessed using logistic regression. Data missingness was random. Survival time was defined as time from esophagectomy to date of last living contact or death. Time to recurrence was defined as time from esophagectomy to last clinical evaluation for recurrence. Survival curves for matched cohorts were compared using log-rank test for equality of survivor functions. Hazard ratios for death were calculated using stratified (matched) Cox proportional hazards regression with clustered standard errors for pairs after controlling for age, sex, body-mass index, smoking, age-adjusted CCI and final AJCC 7 pathologic stage.
Results
Treatment and Perioperative Outcomes for Entire Cohort
Initial therapy was MIE in 156 patients (46%) and neoadjuvant therapy in 183 (54%; 51% chemotherapy alone and 49% chemoradiation). Over the 12 year time-frame, neoadjuvant therapy use ranged from 30–70% per year, but has been stable between 40–50% since 2006. Cisplatin (76%), 5-flourouracil (5-FU; 61%), and paclitaxel (44%) were used in combination in 32% of patients; 19% received the combination of 5-FU and cisplatin. Carboplatin (19%), oxaliplatin (2%), irinotecan (23%), docetaxel (6%), and epirubicin (6%) were used in combination in the remaining patients. Median delivered radiation dose was 5040 cGray (IQR 4500 to 5040).
A median of 21 lymph nodes were identified in the pathologic specimen after MIE, with slightly fewer lymph nodes examined in the neoadjuvant group. R0 resection, defined as compete resection of all gross and microscopic disease, and negative mucosal margins were achieved in 97% (n=329) of patients, with no difference between groups. Neoadjuvant therapy specimens were more likely to be node-negative, have lower pathologic grade, smaller tumor size, and less likely to have angiolymphatic invasion at resection while primary MIE specimens were more likely to have tumor cells at the radial margin. (Table 4)
Table 4.
Pathologic outcomes after MIE comparing neoadjuvant therapy followed by MIE compared with MIE as primary treatment in propensity-matched and overall patient cohorts
| Pathologic Findings | Propensity-Matched Cohort
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Overall Cohort
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|---|---|---|---|---|---|---|---|
| Neoadjuvant Therapy n=97 | Primary MIE n=97 | p-value | Neoadjuvant Therapy n=183 | Primary MIE n=156 | Total Patients n=339 | p-value | |
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| Number of lymph nodes examined (median, IQR) | 20 (15–27) | 25 (17–33) | 0.034 | 20 (14, 27) | 24 (16, 32) | 21 (15, 29) | 0.003 |
| Number of positive lymph nodes (median, IQR) | 1 (0–5) | 3 (1–9) | 0.002 | 1 (0, 4) | 3 (1, 7) | 2 (0, 6) | 0.002 |
| Node-negative at resection (n [%]) | 46 (47) | 20 (21) | 0.001 | 79 (43) | 36 (23) | 122 (34) | 0.001 |
| Pathologic Grade (n (%)) | <0.001 | <0.001 | |||||
| Well-differentiated | 1 (1) | 1 (1) | 1 (0.55) | 4 (2) | 4 (1.2) | ||
| Moderately-differentiated | 35 (36) | 35 (36) | 66 (36) | 53 (34) | 119 (35) | ||
| Poorly-differentiated | 40 (41) | 61 (63) | 78 (43) | 99 (64) | 177 (52) | ||
| No residual tumor | 15 (16) | 0 (0) | 30 (16) | 0 (0) | 30 (9) | ||
| Unable to determinea | 6 (6) | 0 (0) | 8 (4) | 1 (0.6) | 9 (3) | ||
| Tumor size (cm; median, IQR) | 3.1 (0.5–5.3) | 5 (3.5–6.5) | <0.001 | 3.5 (0.3, 5.2) | 5 (3.5, 6.5) | 4 (2.3, 6) | <0.001 |
| Angiolymphatic invasion (n [%])b | 40/81 (49) | 76/93 (82) | <0.001 | 80 (52) | 115 (76) | 195 (64) | <0.001 |
| Mucosal margins negative for tumor involvement (n [%]) | 96 (99) | 91 (94) | 0.118 | 180 (98) | 149 (96) | 329 (97) | 0.196 |
| Tumor involving radial margin (n [%]) | 7 (7) | 13 (13) | 0.237 | 13 (7) | 22 (14) | 35 (10) | 0.048 |
| R0 resectionc | 96 (99) | 91 (94) | 0.118 | 180 (98) | 149 (96) | 329 (97) | 0.196 |
| AJCC 7 Pathologic Stage (n [%]) | <0.001 | <0.001 | |||||
| Stage 0: Complete pathologic responsec | 15 (15.5) | NA | 24 (13) | NA | 24 (7.1) | ||
| Stage 1A | 9 (9) | 0 (0) | 10 (5.5) | 0 (0) | 10 (3) | ||
| Stage 1B | 5 (5) | 4 (4) | 12 (6.6) | 8 (5) | 20 (6) | ||
| Stage IIA | 4 (4) | 5 (5) | 7 (4) | 9 (6) | 16 (5) | ||
| Stage IIB | 15 (16) | 15 (16) | 37 (20) | 30 (19) | 67 (20) | ||
| Stage IIIA | 18 (19) | 18 (19) | 39 (21) | 34 (22) | 73 (22_ | ||
| Stage IIIB | 11 (11) | 20 (21) | 21 (12) | 31 (20) | 52 (15) | ||
| Stage IIIC | 19 (20) | 33 (34) | 30 (16) | 42 (27) | 72 (21) | ||
| Stage IV | 1 (1) | 2 (2) | 3 (2) | 2 (1) | 5 (1.5) | ||
Tumor grade unable to be determined in patients with no residual tumor or only scattered residual cells
Angiolymphatic invasion was not reported in the final pathology on all patients
R0 resection is defined as a microscopically margin-negative resection, in which no gross or microscopic tumor remains in the primary tumor bed; R1 resection is defined as removal of all macroscopic disease but microscopic resection margins are positive. Radial margin involvement with tumor is not considered an R1 resection unless the tumor was adherent to adjacent structures (e.g. liver, diaphragm, pleura, pericardium, prevertebral fascia) and dissected free. R2 indicates gross residual tumor (primary tumor, regional nodes and macroscopic margins) but does not indicate metastatic disease to distant organs.
Indicates no residual cancer within the esophagus or metastatic disease in the examined lymph nodes
NA = Not applicable
Median survival for the overall cohort was 22.6 months (IQR 9.9 to 47.8).
Complete Pathologic Response and Prognosis
Complete pathologic response (13.1%) differed significantly between patients treated with chemoradiation (25%; 22/88) and chemotherapy alone (2.1%; 2/94; p<0.001). Median survival after neoadjuvant chemoradiation (n=88), was 36.2 versus 18.2 months when PCR occurred (log-rank test p=0.02). When survival in PCR patients was compared to the combined group of patients with residual tumor after neoadjuvant therapy and primary MIE, a survival advantage after neoadjuvant therapy was not realized, although there was a trend toward significance (median 39.5 versus 21.9 months; log-rank test p=0.09).
Administration of Adjuvant Therapy in the Overall Cohort
Data regarding adjuvant therapy was available for 311 patients overall (92%) and 178 matched patients (92%). Adjuvant chemotherapy was administered to 49% of neoadjuvant [86/176] and 49% of primary MIE patients [66/135; p=1.000]). Factors associated with adjuvant therapy included age at operation (p<0.001) and age-adjusted CCI (p<0.001). Pathologic tumor factors associated with adjuvant therapy in univariate analysis include AJCC 7 pathologic stage II or greater (p<0.001), T3 depth of invasion (p=0.002), presence and increasing number of pathologically positive nodes (p<0.001 for both), viable tumor at esophagectomy (p=0.001), larger pathologic tumor size (p<0.001), angiolymphatic invasion (p=0.047), positive circumferential (p=0.005) and mucosal (p=0.01) margins, pathologic grade (p<0.001) and R0 resection (p=0.100). After adjusting for all significant variables, age <70 (p=0.001) and CCI score <3 (p=0.014) were the only significant predictors of exposure to adjuvant therapy. The c-statistic for the logistic model was 0.778, indicating good discrimination for predicting adjuvant therapy after MIE.
Propensity-matched Recurrence and Survival Analysis
In the 97 propensity-matched pairs, median time to last clinical follow-up or death was 20.3 months (IQR 9.9, 43.9). Median overall survival was 18.7 months (IQR 9 to 36), with no difference between propensity-matched groups. (Figure 1a; log-rank test p=0.679) To account for paired data and censoring, multivariate clustered Cox regression was performed. After adjusting for age, sex, body mass index, smoking, age-adjusted CCI score and AJCC 7 pathologic stage, primary MIE was not associated with significantly different hazard for death (HR 0.83; 95% CI 0.60–1.16). Pathologic stage was a significant prognostic variable (p=0.006).
Figure 1.
Figure 1a) Overall Survival after MIE: Propensity matched comparison of neoadjuvant therapy followed MIE compared with MIE as primary therapy. The numbers in parenthesis are the number of failure events (deaths) between each time point.
Figure 1b) Propensity matched comparison of the percentage of patients free of recurrence over time after MIE: Neoadjuvant therapy followed by MIE versus MIE as primary therapy. The numbers in parenthesis are the number of failure events (deaths) between each time point. In the primary MIE cohort, 1 patient had an R2 resection and persistent disease and was, therefore, never rendered disease free. Number at risk, therefore, is 96 at time 0.
In the 97 propensity-matched pairs, 113 patients (58%) had developed recurrence at a median follow-up of 10.1 months (IQR 4.1, 21.1) with no difference between propensity-matched groups in either the proportion with recurrence (neoadjuvant 55/97 [57%] versus primary MIE 58/97 [60%], respectively; p=0.771) or time to recurrence (mean 14.9 vs 15.8 months, respectively; log-rank test p=0.924; Figure 1B). When identified, recurrence was distant in 76% and 78% of neoadjuvant (42/55) and primary MIE patients (45/58; p=0.118), respectively. Chemotherapy alone showed a trend toward higher recurrence rates compared to chemoradiation (64% [38/59] vs 45% [17/38]; p=0.063), with 76% (29/38) and 77% (13/17) presenting with distant metastasis respectively.
Administration of Adjuvant Therapy in the Propensity-Matched Cohort
In the propensity-matched cohort, adjuvant therapy was given to 47% (43 of 92 with available data) of the neoadjuvant cohort as compared with 56% of primary MIE patients (48 of 86 with available data; p=0.235). Since 2006, adjuvant therapy was given to 65% (41/63) of patients in the matched pairs with pathologic stage IIB or greater, including 70% (33/47) of primary MIE and 50% (8/16) of neoadjuvant patients (p=0.224).
Accuracy of Clinical Staging
Clinical staging was inaccurate in 35% (37/105) of primary MIE patients who had complete clinical staging (EUS plus CT and/or PET-CT) prior to surgery. Eighteen patients were upstaged; 3 clinically IIa were IIIb (n=1) and IIIc n=2) on final pathology. Thirteen clinically staged IIb were IIIa (n=7), IIIb (n=3) and IIIc n=3) on final pathology. Two clinically staged III had resectable solitary liver metastasis discovered at esophagectomy and pathologically staged IV. Nineteen were down-staged after resection; 4 clinically stage IIb were IIa (n=3) and Ib (n=1) on final pathology. Fourteen clinically stage III were 1b (n=1), IIa (n=4) and IIb (n=9) on final pathology. One clinical IVa patient was downstaged to IIb.
Discussion
We performed a propensity-matched analysis comparing neoadjuvant therapy followed by MIE to MIE as primary treatment for locally advanced esophagogastric adenocarcinoma. We found that patients treated with primary MIE followed by adjuvant therapy based on pathologic stage did not differ significantly in terms of overall survival or recurrent disease compared with patients treated with neoadjuvant therapy. In addition, primary MIE allowed for accurate staging compared to clinical staging in nearly one-third of patients. These findings suggest that primary MIE followed by adjuvant therapy in patients with resectable locally advanced EAC is a reasonable alternative to treating all patients with neoadjuvant therapy. By allowing accurate stage assignment through pathologic assessment of the primary tumor and the lymph nodes, MIE followed by adjuvant chemotherapy in appropriate patients could improve prognostication and potentially minimize the risk of overtreatment in patients with early-stage disease.
Examining the Role of Neoadjuvant Therapy
There is little debate about the role of surgery in the management of esophagogastric adenocarcinoma;(28) analyses of large population-based datasets and single-center reports clearly demonstrate improved survival in patients treated with a trimodality approach compared with chemoradiation alone.(29, 30) The role for neoadjuvant therapy for esophagogastric adenocarcinoma, however, continues to be refined, in part because most of the randomized controlled trials comparing neoadjuvant therapy with surgery alone include both squamous and adenocarcinoma histologies. A recent meta-analysis does suggest that patients with adenocarcinoma experience a survival benefit with neoadjuvant chemo(radio)therapy compared with surgery alone,(2, 11) as did the CROSS trial, which included adenocarcinoma histologic subtype for 75% of the patients. In this study, the median survival for adenocarcinoma was approximately 28 months with surgery alone compared to 48 months after chemoradiotherapy followed by surgery (p=0.049). However, when adjusted for baseline covariates, including sex, clinical N-stage, and performance status, the 25.9% reduction in hazard for death in adenocarcinoma patients treated with neoadjuvant chemoradiotherapy compared to surgery alone was not statistically significant.(31) In comparison, there was a nearly 58% reduction in hazard of death with chemoradiotherapy in the squamous histology group (p=0.007). While interpreted as a strong statement in favor of neoadjuvant chemoradiotherapy for all esophageal cancer patients, the survival benefit in the adenocarcinoma subset is less compelling, particularly when adjusted for other survival predictors. Importantly, as with other studies, adjuvant therapy was not given to the surgery alone groups, meaning that patients with metastatic disease to the lymph nodes did not receive any systemic therapy. In contrast, adjuvant therapy was given to 65% of our propensity-matched patients with IIB or greater pathologic stage and may explain the similar survival between groups in our study.
A major goal of neoadjuvant therapy is to achieve a complete pathologic response, with no residual disease in the esophagus or in the surrounding lymph nodes. However, in most studies, pathologic complete response is only found in 15–25% of patients treated with chemoradiation.(31–35) The most recent randomized trial (the Cross Trial) had a 23% complete response rate after chemoradiotherapy in the adenocarcinoma group.(31) In patients treated with neoadjuvant chemotherapy without radiation, response rates range from 0–5%.(10, 36, 37) The complete response rate in this study is consistent with the reported literature. When we examined the patients treated with chemoradiation, we did see a significant improvement in survival associated with a PCR compared to chemoradiation patients without a complete response. This is also consistent with the reported literature.(38) We did not, however, find improved survival with PCR compared to all patients with residual tumor at esophagectomy (including patients who did not have PCR after neoadjuvant and patients treated with primary MIE). While potentially explained by insufficient power related to small numbers of PCR, the lack of survival advantage might be due to the delivery of adjuvant therapy to a high percentage of patients with nodal involvement after MIE as primary therapy. This possibility requires prospective validation in a randomized controlled trial.
In addition to optimizing survival, objective assessment of risks and benefits must be considered when analyzing the role for neoadjuvant therapy. Schneider and colleagues evaluated response to therapy and survival and found that patients in whom disease was stable (i.e. non-responders) or who presented evidence for progression of disease had substantially worse survival than patients with a partial or complete response.(39) In their study, objective tumor regression was noted at esophagectomy in only ~40% of patients; this means that 60% of patients derived no measurable benefit from the neoadjuvant therapy while being exposed to potential complications from the treatment itself. These complications were described in a systematic review of 38 papers by Courrech Staal and colleagues; multiple grade III/IV toxicities associated with chemoradiation included dehydration (17%), vomiting (0–16%), esophagitis (0– 43%), pneumonitis (2%), and fistula formation (2%). Treatment-related mortality was 2.3% (29/1269) after the start of chemoradiation therapy but before surgical resection.(5) This variability in therapeutic response and risk of associated toxicity raises the possibility that a selective approach for patients treated outside of clinical trials may be worth further study. In some cases, patients with resectable disease at diagnosis may ultimately be unable to proceed with surgical resection because of treatment-related toxicity, or worsening of underlying comorbid conditions (such as pulmonary injury from the radiation field effect). In our study, patients who were older and who had a higher Charlson comorbidity index score were less likely to have neoadjuvant therapy prior to MIE and were also less likely to have adjuvant therapy than were younger patients and those with fewer comorbidities. In fact, age less than 70 and Charlson comorbidity index score of less than 3 were independently associated with the use of adjuvant therapy, whereas all of the tumor specific variables (i.e. the biological indicators of poor prognosis) were not. In many patients, because of toxicity risk, primary esophagectomy for resectable adenocarcinoma may be an important alternative, especially given that only 40% of patients benefit from current neoadjuvant regimens and 1/3rd are incorrectly staged by clinical evaluation.
Study Strengths and Limitations
Several recent studies evaluating early outcomes after MIE versus open esophagectomy have shown significantly earlier return to baseline function, including global function, level of fatigue, overall physical function as measured by the physical component summary of the SF-36, quality of life measures such as pain and ability to talk, and activities of daily living. In a randomized controlled trial by Biere and colleagues, these differences were identified as early as 6 weeks after esophagectomy.(40) As with the randomized trial, Parameswaran and colleagues noted faster resolution of physical fatigue, improving by 3 months and back to baseline at 6 months after MIE while remaining elevated after open esophagectomy.(41) Reports of reduced motivation increased in the open group while the MIE group returned to baseline by 3 months and was below baseline (i.e. more motivated) by 6 months. Finally, more MIE patients were completely independent in their instrumental activities of daily living at 3 and 6 months (53% versus 33% and 78% versus 33%, respectively). While limited by small numbers of patients and there are no published studies, to date, that specifically examine the question of improved delivery of adjuvant therapy comparing open and MIE, these data suggest that the physiologic impact of MIE is of shorter duration, and resolves within a timeframe (3 months) that would allow for adjuvant therapy to be considered. As noted in our study, 65% of our propensity-matched patients with pathologic AJCC 7 stage IIB or greater (T3 depth of invasion and/or nodal metastasis in the pathologic specimen) received adjuvant therapy. The ability to deliver chemotherapy to patients with pathologically staged regionally advanced disease was likely an important factor in our finding that survival was similar between the propensity-matched patients.
Our study is also strengthened by the use of propensity score matching to equalize the treatment groups with regard to variables, such as age and clinical stage, which also impact survival. The propensity score is the conditional probability of an individual to be treated given its covariates;(42) it is used to balance large differences in the observed covariates between two groups in observational studies, thereby reducing the bias in estimates of treatment effects. This allows investigators to adjust the likelihood of assignment to one treatment group versus another for as many covariates as possible. Using propensity-score matching, we created two treatment groups that were well balanced across nearly all levels of all included covariates.
Even with propensity-matching, our comparisons between groups are limited by the completeness of the data and may be biased by difficult-to-measure factors, such as the thoroughness of documentation. We minimized this by performing chart review with consistent data definitions, and validation of the data by a second abstractor, but cannot completely correct for this limitation in retrospective study design. Another limitation of our study is that we are unable to discuss disease specific mortality because the cause of death is unknown in the patients who were followed up by physicians close to their homes. As such, we compared overall survival only. Finally, the total number of patients in the study may not provide enough power to detect small but statistically significant differences in survival outcomes between groups.
Our results may not be generalizable to all surgeons and surgeon practices, particularly if they have limited experience with esophagectomy or operate in hospitals lacking the expertise to care for these patients postoperatively. In addition, the fact that our study population only includes patients who underwent MIE does not allow us to exam those patients who experienced disease progression, severe complications and/or death while receiving neoadjuvant therapy, or who were treated with definitive chemo- and/or chemoradiotherapy.
Conclusions
We found that primary MIE followed by adjuvant chemotherapy does not negatively impact survival compared to propensity-matched patients treated with neoadjuvant therapy for locally advanced esophagogastric adenocarcinoma, and allowed for accurate cancer staging. Our data suggest that similar outcomes can be achieved when patients undergo MIE with curative intent, followed by adjuvant chemotherapy for pathologically staged IIB or greater disease. Patients with marginally resectable disease or significant nodal involvement should still be considered for neoadjuvant therapy to improve complete resection rates. We have previously shown that minimally invasive techniques for esophagectomy can be used in a wide range of patients; improved physiologic function in this setting may facilitate delivery of adjuvant chemotherapy. This finding must be confirmed in prospective randomized trials, however, before definitive conclusions can be made. Future trials randomizing patients with esophagogastric adenocarcinoma deemed resectable at laparoscopic staging to either neoadjuvant therapy followed by MIE or MIE followed by adjuvant therapy are needed to determine the true efficacy of this approach.
Acknowledgments
Grant Support: The project described was supported by Award Numbers K07CA151613 (KSN), UL1 RR024153, and UL1TR000005 from the National Cancer Institute.
The authors would like to thank Sunee Hempel, Megan Lunz, and Julie Ward for their assistance with data acquisition for this study. We also thank Shannon Wyszomierski for her excellent editorial review of the manuscript.
Footnotes
This work was presented at the Residents & Fellows Research Conference and Plenary Session of the 53rd Annual Meeting of the Society for Surgery of the Alimentary Tract on May 18 and May 21, 2012, at the San Diego Convention Center in San Diego, California.
The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute or the National Institutes of Health.
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